Fundamentals of Data Science in Healthcare
Completed by SAMUEL DAMILARE AGBAJE
September 18, 2026
8 hours (approximately)
SAMUEL DAMILARE AGBAJE's account is verified. Coursera certifies their successful completion of Fundamentals of Data Science in Healthcare
What you will learn
Describe the characteristics, challenges, and analytical roles of major healthcare data sources, including EHRs, claims, and registries.
Explain essential healthcare data standards and their importance in interoperability and structured analytics.
Apply data preprocessing and quality assessment techniques, including handling missing data, temporal alignment, and feature engineering.
Implement privacy-preserving preparation steps that ensure HIPAA-aligned handling of healthcare datasets.
Skills you will gain
- Category: Data Preprocessing
- Category: Health Care
- Category: Data Cleansing
- Category: Medical Records
- Category: Data Processing
- Category: Health Information Management
- Category: Data Validation
- Category: Medical Coding
- Category: Health Informatics
- Category: Electronic Medical Record
- Category: Clinical Data Management
- Category: Data Transformation
